ArticleNature communications2020
Demographic and genetic factors influence the abundance of infiltrating immune cells in human tissues.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 37 citations in OpenAlex.
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- An immunogenetic basis for lung cancer risk.Science (New York, N.Y.) · 2024Article
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- Dynamic network-guided CRISPRi screen identifies CTCF-loop-constrained nonlinear enhancer gene regulatory activity during cell state transitions.Nature genetics · 2023Article
- Autoimmune alleles at the major histocompatibility locus modify melanoma susceptibility.American journal of human genetics · 2023Article
- Impact of germline HLA genotypes on clinical outcomes in patients with urothelial cancer treated with pembrolizumab.Cancer science · 2022Article
- Composition of the infiltrating immune cells in the brain of healthy individuals: effect of aging.Immunity & ageing : I & A · 2022Article
- Evaluation of the TCR Repertoire as a Predictive and Prognostic Biomarker in Cancer: Diversity or Clonality?Cancers · 2022Review
- Microenvironmental changes co-occur with mosaic somatic clonal expansions in normal skin and esophagus tissues.Frontiers in oncology · 2022Article
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- Infiltration Patterns of Cervical Epithelial Microenvironment Cells During Carcinogenesis.Frontiers in immunology · 2022Review
- Association between rs174537Adipocyte · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
Abstract
Despite infiltrating immune cells having an essential function in human disease and patients' responses to treatments, mechanisms influencing variability in infiltration patterns remain unclear. Here, using bulk RNA-seq data from 46 tissues in the Genotype-Tissue Expression project, we apply cell-type deconvolution algorithms to evaluate the immune landscape across the healthy human body. We discover that 49 of 189 infiltration-related phenotypes are associated with either age or sex (FDR < 0.1). Genetic analyses further show that 31 infiltration-related phenotypes have genome-wide significant associations (iQTLs) (P < 5.0 × 10
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